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Infrastructure as Code

By vaayaa Editorial Team · Subject panel: Hiroshi Tanaka (PhD, Computer Science), Carlos García (Master's, Data Science)

IaC describes servers, networks, databases and cloud services in machine-readable files, then creates and changes them through automation rather than manual console work [1][2]. A learner can build competence step by step, starting with version control and one declarative tool.

Key takeaways

  • The discipline replaces console clicks and manual setup with versioned definition files that can be reviewed and repeated [2][3].
  • Declarative tools describe the end state and let the system work out the steps, which is the approach Azure guidance recommends when possible [1].
  • Most of the value and most of the risk sit in review, testing and policy checks before deployment [4][2].
  • Published growth forecasts range from a 20.7% CAGR [5] to a 24.3% CAGR [6], depending on scope and publisher.
  • A realistic learning path combines one cloud platform, one declarative tool, version control and a validated pipeline [7][8].

For years, infrastructure work meant logging into a server, running a few scripts and hoping nothing broke. This discipline replaces those steps with text files that define what the infrastructure should look like. The files live in the same codebase as the application, so every environment can be reproduced on demand [9][3].

The approach is spreading across sectors. Organizations of many sizes, from large enterprises to small and medium enterprises, use it in banking, retail, government, manufacturing and telecom [10]. Market reports describe the same pattern: cloud adoption, DevOps practice and the need for consistent deployments are the main drivers [11][5].

This guide explains the core model, the knowledge areas and tools, real applications, market and career outcomes, risks and regulation, and a step-by-step way to build competence through self-paced study.

How code replaces manual cloud setup

Manual setup usually starts small. A console change gets a deploy out the door, a one-off permission is granted to a teammate, and after enough of these moves the environment exists only in people's heads [2]. Development, staging and production drift apart. This discipline addresses that pattern by treating infrastructure as code that can be reviewed, versioned and rerun [9][3].

The central idea is that a file describes the wanted result. Declarative tools define the end state and rely on the system to decide how to reach it, while imperative tools list the steps to run [1][12]. Azure guidance also describes immutable infrastructure, which is replaced with new resources running the new configuration rather than changed in place [1].

Why version control matters

Keeping definitions in Git records who changed what, when and why, and it makes each change reviewable before it runs [3]. Peer review through pull requests and automated deployment together reduce the chance that a risky one-off change reaches production unnoticed [2]. An IaC tool parses the files to create, update, destroy or reconcile resources across development, testing and production [5].

Opinion For most teams, a declarative tool is a safer starting point than a script, because the file states the goal and leaves less room for hidden steps.

Core knowledge areas, tools and methods

Competent practitioners need knowledge of industry cloud services, the syntax of at least one infrastructure template language, the tooling that runs templates, and testing and debugging techniques [7]. The Australian unit specification also expects learners to create and update at least one own template and to write user documentation [7]. Those expectations make a useful benchmark for self-study.

Tools to compare

  • Terraform uses declarative configurations, supports AWS, Azure, Google Cloud, Kubernetes and on-premises infrastructure, and manages state so deployed resources match the defined state [12].
  • AWS CloudFormation models and provisions AWS resources with JSON or YAML templates and offers stack updates, rollback and drift detection [12].
  • Google Cloud Config Connector manages Google Cloud resources through Kubernetes resource modules, which one team adopted to address reconciliation problems it had with Terraform [13].
  • Ansible, Chef, Puppet and SaltStack focus on configuration management, enforcing consistent server settings across large fleets [14].

A research paper on Terraform describes its configuration language, provider plugins, state management and modularity as the core features behind multi-cloud deployments [15]. A patent filed for an IaC tool describes a dependency graph that sets the order of provisioning [16]. Learners should understand both ideas, because dependency order and state explain many failed deployments.

Segment growth rates for the IaC market0%6.45%12.9%19.35%25.8%23.7%Overall market CAGR25.8%Tools segment CAGR19.7%Services segment CAGR
Segment growth rates for the IaC market Fact

Source: vaayaa analysis of cited data
View chart data
Overall market CAGR23.7%
Tools segment CAGR25.8%
Services segment CAGR19.7%

Practical applications and concrete scenarios

Enterprises use this work where manual setup cannot keep pace with demand. Hybrid and multi-cloud environments are a common case, since workloads run in public clouds, private clouds and on-premises systems at the same time [17]. The following scenarios show how the skills are applied in practice.

A cloud-first insurer used Terraform to build a self-managed serverless product for a subsidiary that could not use a SaaS version because of local compliance rules [21]. The same idea appears in a managed services provider that replaced manual setup with IaC, centralized CI/CD pipelines and change governance [22].

Three options compared: how each handles templates, scope and state
AspectTerraformAWS CloudFormationGoogle Cloud Config ConnectorBasis
Template languageDeclarative configuration files [12]JSON or YAML templates [12]Kubernetes resource modules [13]Fact
Platform scopeAWS, Azure, Google Cloud, Kubernetes and on-premises [12]AWS services [12]Google Cloud resources managed through Kubernetes [13]Fact
State and driftState management keeps infrastructure matching the configuration [12]Stack updates, rollback and drift detection [12]Config Sync automates synchronization from source repositories [13]Fact
Best fitTeams that need coverage across several cloudsTeams heavily invested in the AWS ecosystemTeams that already run Kubernetes on Google CloudOpinion
Known frictionState maintenance and reconciliation caused inconsistent configurations for one team [13]Tight integration can limit portability to other clouds [12]Depends on running a Kubernetes cluster as the control point [13]Opinion
Sources: [12] for Terraform and CloudFormation features, [13] for Config Connector and the reconciliation experience described by one team.

Market growth and roles that use these skills

Published market figures vary by publisher and scope. GMI reports a market valued at USD 1 billion, projected to reach USD 8.6 billion at a 24.3% CAGR [6]. Grand View Research reports USD 1.02 billion, projected to reach USD 6.14 billion at a 22.3% CAGR [11]. Compare figures only when the definitions match.

Estimate The growth rates above are forecasts made by market research publishers, not measured results. Use them to gauge direction, not to plan a salary or budget.

GMI also reports that software generated USD 764.9 million while services generated USD 245.9 million, and that services are forecast to grow faster [6]. That split matters for learners, because demand for implementation work such as landing zones and policy libraries is expected to keep rising [6].

Roles and daily work

Cloud infrastructure engineers write IaC, manage Kubernetes clusters and work with site reliability and DevSecOps teams to build security into the platform [14]. A common title for this work is platform engineer, and the Australian unit is aimed at people who manage infrastructure at scale [7][8]. Wiz describes Python or Go as often representing up to 50% of the daily workload for these engineers [14].

Market size figures printed for the IaC market01.22.43.64.81.3Base estimate4.8Overall market forecast3.3Tools segment forecast
Market size figures printed for the IaC market (USD billion) Fact

Source: vaayaa analysis of cited data
View chart data
Base estimate1.3 USD billion
Overall market forecast4.8 USD billion
Tools segment forecast3.3 USD billion

Risks, security and governance to plan for

Misconfigurations, secret management, policy enforcement and auditing all complicate IaC workflows, and these problems are amplified in multi-cloud setups with varied syntaxes and fragmented toolchains [4]. Addressing security only at deployment is often insufficient, so teams should move checks earlier in the development lifecycle [4].

  • Scan templates for misconfigurations and check them against organizational policy before deployment [1].
  • Keep credentials out of template files and manage secrets in a dedicated system [4].
  • Review every change through version control, since untracked changes make audits difficult [2].
  • Build encryption, network isolation and access controls into the template when data is sensitive [9].

Regulated sectors such as finance, telecom, public sector and healthcare place heavy weight on compliance-as-code and infrastructure governance [5]. Licensing also needs attention. GMI notes that HashiCorp moved future releases of its products from MPL 2.0 to BSL 1.1, and that the OpenTofu project created an MPL 2.0 Terraform-compatible alternative [6].

Opinion Treat the choice of tool as an architecture decision with license, compatibility and team skill consequences, not as a matter of personal taste.

A step-by-step plan for building competence

A common prerequisite is experience with Linux and networking administration, and basic cloud knowledge is helpful [8]. Learners should begin with a single cloud platform and a single declarative tool, then add state, modules, pipelines and policy checks in that order. The steps below are a sequence, not a fixed schedule.

Staging each change is the safest habit. Deliver a small slice of infrastructure end to end before adding more resources, and document what each template creates [2][7]. A GitOps pattern treats Git as the single source of truth and lets automation reconcile environments against it [23].

Learners who finish the pathway should be able to deploy, update and remove resources with a template they wrote, and explain the result in documentation [7]. The unit that sets this benchmark also expects knowledge of testing and debugging common deployment errors [7].

Original analysis

vaayaa analysis: services share of segment revenue

  1. Take the software figure of USD 764.9 million and the services figure of USD 245.9 million from the GMI report [6].
  2. Add them to get the combined total: 764.9 + 245.9 = 1,010.8 USD million.
  3. Divide services by the total: 245.9 / 1,010.8 = 0.243, which is 24.3%.
  4. Subtract from 100 to get the software share: 100 - 24.3 = 75.7%.

About one dollar in four of this segment total comes from services, so implementation work is a meaningful part of the market and a useful area for learners to build skills in [6].

Learning pathway for a self-paced student

  1. 1

    Check prerequisites

    Confirm you can administer Linux and basic networking before starting [8].

  2. 2

    Learn version control

    Practice tracking every change to definition files in Git so each change has an author and a reason [3].

  3. 3

    Write a first template

    Write a declarative file for one resource in one cloud and deploy, update and remove it [7].

  4. 4

    Add state and modules

    Reuse code with modules and learn how state records what has been deployed [12].

  5. 5

    Add pipelines and policy

    Run validation and policy checks before any deployment reaches a shared environment [4].

Worked example

Estimating a six-week self-study plan

  1. Assumption: the learner can study 4 hours per week, which is a planning figure, not a source value.
  2. Total study time: 6 weeks x 4 hours = 24 hours.
  3. Weeks 1 and 2: learn declarative syntax and write one template for a single cloud resource [7].
  4. Weeks 3 and 4: add state, modules and a reusable variable set [12].
  5. Week 5: add a validation step and a simple pipeline check [2].
  6. Week 6: create one own template, deploy and remove it, and write user documentation [7].

The 24-hour plan produces one tested template, one reusable module and written documentation, which is a solid first milestone but not a substitute for supervised work on real systems.

Practical checklist before any deployment

  • Keep every definition file in version control with reviewed changes [3].
  • Prefer a declarative template when the tool supports it [1].
  • Scan templates for misconfigurations before deployment [4].
  • Keep secrets out of template files [4].
  • Test each change in a non-production environment first [2].
  • Document what each template creates and how to remove it [7].
  • Check the license terms of the tool before standardizing on it [6].

Frequently asked questions

Is this discipline only for large companies?

No. Organizations from large enterprises to small and medium enterprises use it across banking, retail, government and manufacturing [10]. Small teams benefit too, because one definition file replaces repeated console work and makes environments easier to reproduce [3].

Do I need programming skills first?

Basic scripting helps, and cloud engineers often write Python or Go for a large share of their work [14]. Most learners start with the declarative syntax of one template language, plus tooling and testing methods [7]. That starting point is manageable without a computer science background.

How do I choose between Terraform and CloudFormation?

Start with where your workloads run. Terraform supports several providers, while CloudFormation is tightly integrated with AWS services [12]. Team skills, license terms and existing cloud commitments also matter, so compare them before standardizing [6].

How is this different from configuration as code?

This discipline provisions resources such as clusters, networks and storage. Configuration as code sets operating system settings, packages and application settings on top of that platform [25]. In GitOps workflows, teams often use both together [25].

What evidence of skill should a learner keep?

A useful record is a template you wrote, deployed, updated and removed, along with documentation that explains each step [7]. The Australian unit that sets this benchmark also expects knowledge of testing and debugging common deployment errors [7].

What are the main risks for beginners?

Misconfigurations, exposed secrets and unreviewed changes are the most common concerns [4]. Manual changes made outside the code also cause drift, so the environment stops matching its definition [2]. Policy checks before deployment reduce these risks [19].

Conclusion

This discipline turns infrastructure into reviewable, repeatable files. Its core ideas are declarative definitions, version control, state management and automated checks, and each one can be learned in sequence [1][3][12]. The market is growing, but the more durable value is the ability to explain why an environment looks the way it does.

For a learner, the practical path is clear: confirm your prerequisites, learn version control, write and remove a template, then add modules, pipelines and policy checks [8][7][4]. Track what you build, keep the documentation current, and treat each tool choice as a decision with trade-offs [6].

Learning sources

References

  1. learn.microsoft.com. Architecture strategies for using infrastructure as code - Microsoft Azure Well-Architected Framework - Lumaktaw papuntang pangunahing nilalaman Lumaktaw sa karanasan sa chat ng Ask Learn.
  2. terrateam.io. Infrastructure as code: what IaC is and how to implement it.
  3. manageengine.com. Infrastructure as Code explained: Benefits, best practices, and examples | CXO Focus.
  4. cncf.io. Why Infrastructure as Code Needs to be Secure by Default - KubeCon + CloudNativeCon China · Sep 7 - 9 · Shanghai · REGISTER NOW.
  5. marketresearch.com. Global Infrastructure as Code (IaC) Tool Market by Company, Regions, Type and Application, Forecast to - Global Infrastructure as Code (IaC) Tool Market by Company, Regions, Type and Application, Forecast to.
  6. gminsights.com. Infrastructure as Code Market Size & Share | Growth Report - Infrastructure as Code Market Size & Share.
  7. legacy.training.gov.au. © Commonwealth of Australia, Future Skills Organisation.
  8. niccs.cisa.gov. Deploying and Automating Infrastructure at Scale.
  9. ibm.com. Infrastructure as Code Best Practices | IBM - Infrastructure as code best practices.
  10. researchandmarkets.com. Infrastructure as Code Market Report - Research and Markets - Infrastructure as Code Market Report.
  11. researchandmarkets.com. Infrastructure as Code Market Size, Share & Trends Analysis Report by Infrastructure Type (Mutable Infrastructure, Immutable Infrastructure), Deployment (Cloud, on-premises), Approach, End Use and Region with Growth Forecasts, - - Infrastructure as Code Market Size, Share & Trends Analysis Report by Infrastructure Type (Mutable Infrastructure, Immutable Inf....
  12. ieeexplore.ieee.org. Google Cloud Deployment Manager [110] is an infrastructure deployment service that automates the creation and management of Go....
  13. cloud.google.com. Infrastructure as Code (IaC) at Waze using Config Connector | Google Cloud Blog - Containers & Kubernetes.
  14. wiz.io. Cloud Infrastructure Engineer: Skills, Duties, and Career Path | Wiz.
  15. doi.org. Journal of Artificial Intelligence, Machine Learning and Data Science.
  16. patentsgazette.uspto.gov. patentsgazette.uspto.gov.
  17. theinsightpartners.com. Infrastructure as Code (IaC) Market Size & Growth - Infrastructure as Code (IaC) Market Trends, Share & Demand by.
  18. avahi.ai. SmartTix: AWS Control Tower & Terraform | Avahi.
  19. hashicorp.com. How AirFrance-KLM built a secure automation platform at global scale with Terraform, Vault, and Ansible.
  20. pypi.org. traintraintrain.
  21. hashicorp.com. Helvetia’s journey building an enterprise serverless product with Terraform.
  22. cygnet.one. Modernized Infrastructure & Deployment Automation for MSP.
  23. github.com. marketplace/skills/davila7/devops-iac-engineer/SKILL.md at 820ccb93d2e2fe828678ed05433bafd1054e5000 · aiskillstore/marketplace · GitHub.
  24. strategyr.com. Infrastructure as Code (IaC) - StrategyR is a Trademark of Global Industry Analysts, Inc.
  25. notes.kodekloud.com. Configuration as Code CaC and Infrastructure as Code IaC - KodeKloud - Skip to main content.
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